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Scientific computing in an AI world.

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Title: Scientific computing in an AI world.
Authors: Dongarra, Jack (AUTHOR), Reed, Daniel (AUTHOR), Gannon, Dennis (AUTHOR)
Source: Science. 6/18/2026, Vol. 392 Issue 6804, p1244-1247. 4p.
Subjects: Scientific computing, Artificial intelligence, Economic opportunities, Cloud computing, Digital technology, High performance computing, Scientific discoveries, Ecosystems
Abstract: The center of gravity in advanced computing has transitioned away from traditional scientific and engineering high-performance computing (HPC), with the locus of influence shifted to hyperscale service providers ("hyperscalers" that operate massive, highly scalable cloud computing infrastructure) and consumer smartphone companies (1), but now driven by artificial intelligence (AI). Consequently, scientific and technical computing is increasingly a specialized, policy-driven niche riding atop infrastructure optimized for other, much larger markets. The challenge for scientific computing is to adapt to this rapidly changing world. We suggest maxims that define the present and future of scientific computing and propose a "moonshot" to build a new foundation that would benefit both scientific computing and AI. We must look beyond the narrow, but important, design of next-generation computing systems to how an integrated ecosystem of new, nascent, and still-to-be developed technologies enables scientific discovery, economic opportunities, public health, and global security. [ABSTRACT FROM AUTHOR]
Copyright of Science is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: <searchLink fieldCode="DE" term="%22Scientific+computing%22">Scientific computing</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Economic+opportunities%22">Economic opportunities</searchLink><br /><searchLink fieldCode="DE" term="%22Cloud+computing%22">Cloud computing</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br /><searchLink fieldCode="DE" term="%22High+performance+computing%22">High performance computing</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+discoveries%22">Scientific discoveries</searchLink><br /><searchLink fieldCode="DE" term="%22Ecosystems%22">Ecosystems</searchLink>
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  Data: The center of gravity in advanced computing has transitioned away from traditional scientific and engineering high-performance computing (HPC), with the locus of influence shifted to hyperscale service providers ("hyperscalers" that operate massive, highly scalable cloud computing infrastructure) and consumer smartphone companies (1), but now driven by artificial intelligence (AI). Consequently, scientific and technical computing is increasingly a specialized, policy-driven niche riding atop infrastructure optimized for other, much larger markets. The challenge for scientific computing is to adapt to this rapidly changing world. We suggest maxims that define the present and future of scientific computing and propose a "moonshot" to build a new foundation that would benefit both scientific computing and AI. We must look beyond the narrow, but important, design of next-generation computing systems to how an integrated ecosystem of new, nascent, and still-to-be developed technologies enables scientific discovery, economic opportunities, public health, and global security. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Science is the property of American Association for the Advancement of Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1126/science.aef4214
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        Text: English
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      – SubjectFull: Scientific computing
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Economic opportunities
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      – SubjectFull: Cloud computing
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      – SubjectFull: Digital technology
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              Text: 6/18/2026
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